| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1290 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 53.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1290 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "stomach" | | 3 | "weight" | | 4 | "footfall" | | 5 | "calculate" | | 6 | "quickened" | | 7 | "whisper" | | 8 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1290 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1273 | | uniqueNames | 10 | | maxNameDensity | 0.71 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Kingston | 1 | | Gate | 1 | | London | 2 | | Hel | 4 | | Richmond | 1 | | Park | 1 | | Cardiff | 2 | | Welsh | 1 | | Rory | 9 |
| | persons | | 0 | "Heartstone" | | 1 | "Welsh" | | 2 | "Rory" |
| | places | | 0 | "Kingston" | | 1 | "London" | | 2 | "Hel" | | 3 | "Richmond" | | 4 | "Park" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1290 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 30 | | std | 25.66 | | cv | 0.855 | | sampleLengths | | 0 | 15 | | 1 | 60 | | 2 | 57 | | 3 | 7 | | 4 | 49 | | 5 | 6 | | 6 | 62 | | 7 | 14 | | 8 | 8 | | 9 | 57 | | 10 | 2 | | 11 | 73 | | 12 | 88 | | 13 | 22 | | 14 | 14 | | 15 | 67 | | 16 | 15 | | 17 | 18 | | 18 | 1 | | 19 | 1 | | 20 | 46 | | 21 | 13 | | 22 | 4 | | 23 | 6 | | 24 | 23 | | 25 | 56 | | 26 | 4 | | 27 | 55 | | 28 | 12 | | 29 | 79 | | 30 | 10 | | 31 | 23 | | 32 | 45 | | 33 | 53 | | 34 | 71 | | 35 | 18 | | 36 | 3 | | 37 | 33 | | 38 | 4 | | 39 | 7 | | 40 | 41 | | 41 | 1 | | 42 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 199 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 113 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1279 | | adjectiveStacks | 2 | | stackExamples | | 0 | "same tiny metallic rhythm," | | 1 | "exact sour-sweet tang" |
| | adverbCount | 33 | | adverbRatio | 0.02580140734949179 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003127443315089914 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11.42 | | std | 11.32 | | cv | 0.991 | | sampleLengths | | 0 | 15 | | 1 | 12 | | 2 | 21 | | 3 | 3 | | 4 | 24 | | 5 | 3 | | 6 | 36 | | 7 | 7 | | 8 | 1 | | 9 | 10 | | 10 | 7 | | 11 | 10 | | 12 | 30 | | 13 | 5 | | 14 | 1 | | 15 | 3 | | 16 | 6 | | 17 | 7 | | 18 | 1 | | 19 | 1 | | 20 | 6 | | 21 | 22 | | 22 | 1 | | 23 | 6 | | 24 | 2 | | 25 | 16 | | 26 | 6 | | 27 | 7 | | 28 | 1 | | 29 | 8 | | 30 | 6 | | 31 | 12 | | 32 | 16 | | 33 | 23 | | 34 | 2 | | 35 | 13 | | 36 | 23 | | 37 | 8 | | 38 | 29 | | 39 | 5 | | 40 | 4 | | 41 | 26 | | 42 | 14 | | 43 | 4 | | 44 | 4 | | 45 | 31 | | 46 | 11 | | 47 | 11 | | 48 | 11 | | 49 | 3 |
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| 58.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.40707964601769914 | | totalSentences | 113 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 89 | | matches | | 0 | "Somewhere far behind her, a" | | 1 | "Then came the answer." | | 2 | "Then her mother's kitchen, the" | | 3 | "Then a second, lower, slower," |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 89 | | matches | | 0 | "She pushed on." | | 1 | "Her boot prints sat in" | | 2 | "They walked away from her." | | 3 | "She hadn't been here before" | | 4 | "She turned and looked behind" | | 5 | "she said, to no one" | | 6 | "Her voice came out flat" | | 7 | "She stepped between the seventh" | | 8 | "She kept the pendant outside" | | 9 | "It swung and steadied against" | | 10 | "She had come for answers." | | 11 | "It answered to Hel, and" | | 12 | "She said it into the" | | 13 | "Her head snapped up." | | 14 | "She let it fall." | | 15 | "She smelled rain on dry" | | 16 | "It went on and on," | | 17 | "She needed to move." | | 18 | "She walked to the far" | | 19 | "She followed it because it" |
| | ratio | 0.281 | |
| 61.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 89 | | matches | | 0 | "The Heartstone burned against her" | | 1 | "Rory hissed through her teeth" | | 2 | "The pendant had never done" | | 3 | "This was different." | | 4 | "This was a coal fresh" | | 5 | "She pushed on." | | 6 | "The standing stones rose out" | | 7 | "Acres of them, swaying in" | | 8 | "Her boot prints sat in" | | 9 | "They walked away from her." | | 10 | "She hadn't been here before" | | 11 | "Rory crouched and touched the" | | 12 | "The moss hadn't sprung back" | | 13 | "She turned and looked behind" | | 14 | "A badger's snout of a" | | 15 | "The distant amber smear of" | | 16 | "she said, to no one" | | 17 | "Her voice came out flat" | | 18 | "She stepped between the seventh" | | 19 | "The air thickened, syrupy and" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 3.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 9 | | matches | | 0 | "This was a coal fresh from the fire, biting through cotton, pulsing in a rhythm that had nothing to do with her own heart." | | 1 | "Bluebells crushed underfoot released a green, wet stink that coated her tongue." | | 2 | "Somewhere far behind her, a bird that sounded almost like a nightjar stitched three ragged notes into the dark and then stopped mid-pattern." | | 3 | "And the only thing in this city that trafficked in that kind of silence lived in a fold of Richmond Park that no jogger and no dog walker had ever found." | | 4 | "The scraping dragged on, slow and heavy, one long unbroken line of friction that circled the entire rim of the bowl before it stopped at a point directly behind…" | | 5 | "The same tiny metallic rhythm, doubled, coming from somewhere past the standing stones, as though another woman stood out there in the dark wearing the same sil…" | | 6 | "Then her mother's kitchen, the exact sour-sweet tang of a burn on the bottom of a pan, and the specificity of it turned her stomach because that smell belonged …" | | 7 | "Beside the cup lay a sprig of something with white petals and a stem that glistened in the dark like wet tendon." | | 8 | "The print matched hers, and another set overlaid it, larger, barefoot, the arch narrow and high, each toe pressed individually into the mud with a deliberatenes…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |